ai-agent

Tensor-Flow-on-Google-Compute-Engine: Launch TF on GCE in Minutes

Name: Tensor-Flow-on-Google-Compute-Engine: Launch TF on GCE in Minutes
Author: jasonmayes

Deploy a ready‑to‑run TensorFlow environment on Google Compute Engine with a single shell script—ideal for founders needing fast AI compute without manual setup.

From the repo · “A simple script to set up GCE environment in Google Cloud so it is ready to run TensorFlow - an Open Source Software Library for Machine Intelligence”

83 stars19 forksShellGuide quality 9/10 · reviewed Oct 11Updated 7/6/2016100% free · open source

What it does

Run TensorFlow on Google Cloud with a simple script to leverage machine intelligence for your startup

When to use it

•You need to train machine learning models at scale
•You want to utilize Google Cloud's infrastructure for deep learning
•Your startup requires a simple way to set up a TensorFlow environment in the cloud

Ready-to-paste prompt

python tensorflow/examples/tutorials/mnist/mnist_with_summaries.py --train_dir=/tmp/mnist_logs

Heads up: You need to have the Google Cloud SDK installed and authenticated on your machine before running the script, and ensure you have a valid payment method linked to your Google Cloud account to avoid instance creation issues

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/tensor-flow-on-google-compute-engine && curl -fsSL https://workflowstacks.com/api/skills/tensor-flow-on-google-compute-engine/claude-skill -o ~/.claude/skills/tensor-flow-on-google-compute-engine/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Tensor-Flow-on-Google-Compute-Engine: Launch TF on GCE in Minutes works

Codeflow

Free to inspect

Tensor-Flow-on-Google-Compute-Engine: Launch TF on GCE in Minutes is a tiny Shell project (~150 lines across 1 code files). Setup is light: small project — see the README for how to run it. Last commit 125 months ago, no license file, no tests found.

Size

Tiny codebase

~150 lines · 1 code files · 2 min skim

Setup

Light setup

Small project — see the README for how to run it.

Runs on

Shell

No API keys detected

Shell 100%

Where to start reading

1
README.md
Start here — what it does and how to install it

READMENo tests foundThin docsNo CINo licenseLast update 125 mo ago